Publications by authors named "Sohrab Afshari-Mirak"

Article Synopsis
  • - This study focuses on intravesical Bacillus Calmette-Guérin therapy for non-muscle invasive bladder cancer, discussing its mechanism of action, dosing, success rates, and the need for ongoing monitoring after treatment.
  • - It reviews a range of adverse effects, emphasizing abdominal-pelvic complications, which are categorized into more common issues like chemical cystitis (affecting about 35% of patients) and rare but serious conditions such as vascular involvement.
  • - The study highlights recurrence and progression rates of bladder cancer in treated patients (38.2% and 9.8%, respectively), stressing the importance of careful differential diagnosis when evaluating imaging findings related to treatment complications.
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Incarcerated gravid uterus (IGU) is a rare condition that occurs when a retropositioned gravid uterus becomes entrapped within the pelvic cavity. Most patients present around the 17th week of pregnancy with symptoms such as pelvic fullness, urinary incontinence, abdominal pain, constipation, and vaginal bleeding. Rarely, patients are asymptomatic throughout pregnancy, leaving IGU undiagnosed and untreated.

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Objective: To identify which patient with prostate cancer (PCa) could safely avoid extended pelvic lymph node dissection (ePLND) by predicting lymph node invasion (LNI), via a radiomics-based machine learning approach.

Methods: An integrative radiomics model (IRM) was proposed to predict LNI, confirmed by the histopathologic examination, integrating radiomics features, extracted from prostatic index lesion regions on MRI images, and clinical features via SVM. The study cohort comprised 244 PCa patients with MRI and followed by radical prostatectomy (RP) and ePLND within 6 months between 2010 and 2019.

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Purpose: The appropriate number of systematic biopsy cores to retrieve during magnetic resonance imaging (MRI)-targeted prostate biopsy is not well defined. We aimed to demonstrate a biopsy sampling approach that reduces required core count while maintaining diagnostic performance.

Materials And Methods: We collected data from a cohort of 971 men who underwent MRI-ultrasound fusion targeted biopsy for suspected prostate cancer.

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Article Synopsis
  • Automatic segmentation of prostatic zones on multiparametric MRI can streamline prostate cancer diagnosis by improving accuracy and efficiency.
  • A Bayesian deep learning network was developed to automatically segment the peripheral zone (PZ) and transition zone (TZ) of the prostate, with uncertainty estimation, and was tested on a large dataset of 351 MRI scans.
  • The proposed method demonstrated strong segmentation performance with high Dice Similarity Coefficients (DSC) and showed improved accuracy over existing methods, while effectively estimating uncertainty, particularly at the junctions of different prostate zones.
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Purpose: Oncologic efficacy of focal therapies in prostate cancer depends heavily on accurate tumor size estimation. We aim to evaluate the agreement between radiologic tumor size and pathological tumor size, and identify predictors of pathological tumor size.

Materials And Methods: This single arm study cohort included all consecutive patients with biopsy proven prostate cancer and a corresponding PI-RADS®v2 3 or greater index tumor on multiparametric magnetic resonance imaging who subsequently underwent radical prostatectomy.

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Background Microstructural MRI has the potential to improve diagnosis and characterization of prostate cancer (PCa), but validation with histopathology is lacking. Purpose To validate ex vivo diffusion-relaxation correlation spectrum imaging (DR-CSI) in the characterization of microstructural tissue compartments in prostate specimens from men with PCa by using registered whole-mount digital histopathology (WMHP) as the reference standard. Materials and Methods Men with PCa who underwent 3-T MRI and robotic-assisted radical prostatectomy between June 2018 and January 2019 were prospectively studied.

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Background: Prostate diffusion-weighted imaging (DWI) using monopolar encoding is sensitive to eddy-current-induced distortion artifacts. Twice-refocused bipolar encoding suppresses eddy current artifacts, but increases echo time (TE), leading to lower signal-to-noise ratio (SNR). Optimization of the diffusion encoding might improve prostate DWI.

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Purpose: To investigate the role of qualitative and quantitative DCE-MRI parameters in prostate cancer (PCa) stratified by whole-mount histopathology (WMHP) Gleason score (GS) and PI-RADSv2.

Methods: This retrospective study included 323 PCa tumors in 254 men, who underwent 3T MRI prior to prostatectomy, 7/2009-12/2016. Qualitative DCE curve types included type 1 (progressive), type 2 (plateau) and type 3 (washout).

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The purpose of this study is to evaluate the performance of the apparent diffusion coefficient ratio (ADC; the ADC of the suspected prostate cancer [PCa] focus on MRI divided by the ADC in a noncancerous reference area) with that of conventional ADC for detection of high-grade PCa (Gleason score [GS] ≥ 3 + 4) versus low-grade PCa (GS = 3 + 3) with whole-mount (WM) histopathologic analysis used as a reference. The cohort of this retrospective study included 218 men with 240 unilateral PCa lesions assessed by both 3-T multiparametric MRI and whole-mount histopathologic analysis. ROIs were placed on individual lesions verified by WM histopathologic analysis, to calculate the mean ADC (ADC) and lowest ADC within each lesion (ADC), and within non-tumor-containing regions of the same tumor zone but on the contralateral side (ADC), to calculate the background ADC.

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Purpose: To evaluate the effect of size and central location of the tumor on safety and efficacy of percutaneous CEUS- and CT-guided MWA in biopsy-proven renal cell carcinomas (RCCs).

Materials And Methods: In this IRB-approved retrospective study, 69 biopsy-proven renal tumors in 56 patients, who underwent MWA in our institution from January 2013 to March 2017, were evaluated. Data collection included demographics, tumor characteristics, procedural protocols, and follow-up visits within 6 months post procedure.

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Multi-parametric MRI (mp-MRI) is considered the best non-invasive imaging modality for diagnosing prostate cancer (PCa). However, mp-MRI for PCa diagnosis is currently limited by the qualitative or semi-quantitative interpretation criteria, leading to inter-reader variability and a suboptimal ability to assess lesion aggressiveness. Convolutional neural networks (CNNs) are a powerful method to automatically learn the discriminative features for various tasks, including cancer detection.

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Purpose: To determine the characteristics of missed prostate cancer (PCa) lesions on 3T multiparametric-MRI (mpMRI) based on PI-RADSv2 with whole-mount histopathology (WMHP) correlation.

Materials And Methods: This IRB-approved, HIPAA-compliant study, included 614 consecutive men with 3T mpMRI prior to prostatectomy at a single tertiary center between 12/2009 and 4/2017. Clinical, mpMRI, and pathologic features were obtained.

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Purpose: We investigated the performance of 3 Tesla multiparametric magnetic resonance imaging with and without an endorectal coil to detect prostate cancer with a whole mount histopathology reference.

Materials And Methods: This retrospective HIPAA (Health Insurance Portability and Accountability Act) compliant, institutional review board approved, case-control study included patients who underwent 3 Tesla multiparametric magnetic resonance imaging with and without an endorectal coil from July 2009 to December 2016 prior to prostatectomy. The tumor detection rate was calculated for total and index lesions.

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Background: Patient-specific 3D-printed molds and ex vivo MRI of the resected prostate have been two important strategies to align MRI with whole-mount histopathology (WMHP) for prostate cancer (PCa) research, but the combination of these two strategies has not been systematically evaluated.

Purpose: To develop and evaluate a system that combines patient-specific 3D-printed molds with ex vivo MRI (ExV) to spatially align in vivo MRI (InV), ExV, and WMHP in PCa patients.

Study Type: Prospective cohort study.

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Purpose: To evaluate 3T mpMRI characteristics of transition zone and peripheral zone index prostate cancer lesions stratified by Gleason Score and PI-RADSv2 with whole mount histopathology correlation.

Methods: An institution review board-approved, HIPAA-compliant single-arm observational study of 425 consecutive men with 3T mpMRI prior to radical prostatectomy from December 2009 to October 2016 was performed. A genitourinary radiologist and a genitourinary pathologist matched all lesions detected on whole mount histopathology with lesions concordant for size and location on 3T mpMRI.

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Purpose: To investigate the effect of intravitreal bevacizumab (IVB) injection on macular edema (ME) secondary to Behcet's disease.

Methods: This prospective case series included 15 patients with bilateral ME due to Behcet's disease. Intravitreal bevacizumab was injected into the more severely involved eye; the contralateral eye was evaluated as the control.

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Article Synopsis
  • Pain is a significant consequence of spinal cord injury (SCI), impacting the quality of life for affected individuals, particularly veterans.
  • A study involving 58 male veterans revealed that 75.9% reported experiencing pain, with lumbar pain being the most prevalent, followed by shoulder and cervical pain.
  • The findings indicate that higher levels of pain are linked to lower quality of life and greater difficulties in daily functioning, especially for those with anxiety or depressive disorders.
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Sexual activity is an important aspect of life in patients with spinal cord injury (SCI), rated as one of the top priorities for recovery of function. This study was conducted to establish an understanding of the severity of erectile dysfunction (ED), a major component of male sexual activity, and its correlates in patients with SCI in our community. In a cross-sectional study, 37 male veterans with SCI admitted for regular follow-up at our center were recruited.

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Objectives: Growth hormone deficiency (GHD) is a major problem among children with short stature. In this study, the role of brain magnetic resonance imaging (MRI) in defining the underlying defects among short children with GHD is evaluated.

Methods: In a cross-sectional study, data of 158 children were evaluated.

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